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- Tasks: Design and build machine learning models for innovative AI applications.
- Company: Exciting early-stage deep tech start-up in London.
- Benefits: Competitive salary, equity options, and hybrid working model.
- Why this job: Join a founding team and shape the future of AI technology.
- Qualifications: Strong academic background and experience in high ownership projects.
- Other info: Opportunity for genuine impact and career growth in a dynamic environment.
The predicted salary is between 42000 - 84000 £ per year.
I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams.
They are hiring a Founding Machine Learning Engineer to join at early stage, with real ownership over both the core technology and the product direction. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects:
- Design and build machine learning models for document understanding, knowledge graphs, and data extraction
- Develop generative AI systems for research, summarisation, and investment memo drafting
- Solve complex problems involving unstructured and proprietary private company data
- Contribute to technical architecture and applied research direction
- Work closely with the founders on product decisions and feature delivery
On offer:
- The opportunity to build a deep tech AI model and conduct original, applied research
- Founding engineer responsibility with high visibility and influence
- Hybrid working model in London
- Salary up to £70k plus substantial equity
- Genuine ownership over what is built from day one
If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.
Machine Learning Engineer in England employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Machine Learning Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving document understanding or generative AI. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who want to make a difference in the AI space. Your dream job could be just a click away!
We think you need these skills to ace Machine Learning Engineer in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills and experience in machine learning. We want to see how you've tackled complex problems in the past, especially those involving unstructured data. Don’t hold back on showcasing your projects!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Machine Learning Engineer role. We love seeing candidates who take the time to align their experiences with what we’re looking for in our early-stage start-up.
Be Authentic: Let your personality shine through in your application. We’re a small team, and we value authenticity. Share your passion for AI and how you envision contributing to our mission of transforming private market investing.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity to join our founding team!
How to prepare for a job interview at Arrows
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation, and any relevant projects you've worked on. This is your chance to show off your academic background and practical experience!
✨Showcase Your Projects
Prepare to talk about specific high-ownership projects you've been involved in. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and ability to take initiative.
✨Understand Their Product
Do your homework on the start-up's platform and its applications in private market investing. Familiarise yourself with their technology stack and think about how your skills can contribute to their goals. This shows genuine interest and alignment with their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision, the team dynamics, and the technical challenges they face. This not only shows your enthusiasm but also helps you gauge if this is the right fit for you. Remember, interviews are a two-way street!
